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CDC: A Simple Framework for Complex Data Clustering
v1v2 (latest)

CDC: A Simple Framework for Complex Data Clustering

10 January 2025
Zhao Kang
Xuanting Xie
Bingheng Li
Erlin Pan
ArXiv (abs)PDFHTML

Papers citing "CDC: A Simple Framework for Complex Data Clustering"

26 / 26 papers shown
Title
Dink-Net: Neural Clustering on Large Graphs
Dink-Net: Neural Clustering on Large Graphs
Yue Liu
K. Liang
Jun Xia
Sihang Zhou
Xihong Yang
Xinwang Liu
Stan Z. Li
GNN
114
55
0
28 May 2023
Fast Multi-view Clustering via Ensembles: Towards Scalability,
  Superiority, and Simplicity
Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity
Dong Huang
Changdong Wang
Jianhuang Lai
60
137
0
22 Mar 2022
Deep Graph Clustering via Dual Correlation Reduction
Deep Graph Clustering via Dual Correlation Reduction
Yue Liu
Wenxuan Tu
Sihang Zhou
Xinwang Liu
Linxuan Song
Xihong Yang
En Zhu
64
209
0
29 Dec 2021
Multi-view Contrastive Graph Clustering
Multi-view Contrastive Graph Clustering
Erlin Pan
Zhao Kang
58
197
0
22 Oct 2021
Consistent Multiple Graph Embedding for Multi-View Clustering
Consistent Multiple Graph Embedding for Multi-View Clustering
Yiming Wang
Dongxia Chang
Zhiqiang Fu
Yao Zhao
57
57
0
11 May 2021
Reconsidering Representation Alignment for Multi-view Clustering
Reconsidering Representation Alignment for Multi-view Clustering
Daniel J. Trosten
Sigurd Løkse
Robert Jenssen
Michael C. Kampffmeyer
62
124
0
13 Mar 2021
Structured Graph Learning for Scalable Subspace Clustering: From
  Single-view to Multi-view
Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view
Zhao Kang
Zhiping Lin
Xiaofeng Zhu
Wenbo Xu
121
239
0
16 Feb 2021
HDMI: High-order Deep Multiplex Infomax
HDMI: High-order Deep Multiplex Infomax
Baoyu Jing
Chanyoung Park
Hanghang Tong
129
167
0
15 Feb 2021
Deep Fusion Clustering Network
Deep Fusion Clustering Network
Wenxuan Tu
Sihang Zhou
Xinwang Liu
Xifeng Guo
Zhiping Cai
En Zhu
Jieren Cheng
63
182
0
15 Dec 2020
Graph Clustering with Graph Neural Networks
Graph Clustering with Graph Neural Networks
Anton Tsitsulin
John Palowitch
Bryan Perozzi
Emmanuel Müller
GNNAI4CE
78
266
0
30 Jun 2020
Contrastive Multi-View Representation Learning on Graphs
Contrastive Multi-View Representation Learning on Graphs
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
232
1,302
0
10 Jun 2020
CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on
  Multi-scale Data
CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data
Xiang Li
B. Kao
Caihua Shan
Dawei Yin
Martin Ester
37
9
0
08 Jun 2020
Deep Graph Contrastive Representation Learning
Deep Graph Contrastive Representation Learning
Yanqiao Zhu
Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
SSL
73
818
0
07 Jun 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
306
2,732
0
02 May 2020
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
318
1,119
0
13 Feb 2020
Structural Deep Clustering Network
Structural Deep Clustering Network
Deyu Bo
Xiao Wang
C. Shi
Meiqi Zhu
Emiao Lu
Peng Cui
GNN
79
497
0
05 Feb 2020
Large-scale Multi-view Subspace Clustering in Linear Time
Large-scale Multi-view Subspace Clustering in Linear Time
Zhao Kang
Wangtao Zhou
Zhitong Zhao
Junming Shao
Meng Han
Zenglin Xu
117
412
0
21 Nov 2019
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
266
861
0
28 Sep 2019
Attributed Graph Clustering: A Deep Attentional Embedding Approach
Attributed Graph Clustering: A Deep Attentional Embedding Approach
Chun Wang
Shirui Pan
Ruiqi Hu
Guodong Long
Jing Jiang
Chengqi Zhang
GNN
57
514
0
15 Jun 2019
Attributed Graph Clustering via Adaptive Graph Convolution
Attributed Graph Clustering via Adaptive Graph Convolution
Xiaotong Zhang
Han Liu
Qimai Li
Xiao-Ming Wu
GNN
82
295
0
04 Jun 2019
Learning Graph Embedding with Adversarial Training Methods
Learning Graph Embedding with Adversarial Training Methods
Shirui Pan
Ruiqi Hu
S. Fung
Guodong Long
Jing Jiang
Chengqi Zhang
GNNGAN
67
285
0
04 Jan 2019
Deep Graph Infomax
Deep Graph Infomax
Petar Velickovic
W. Fedus
William L. Hamilton
Pietro Lio
Yoshua Bengio
R. Devon Hjelm
GNN
130
2,386
0
27 Sep 2018
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
509
15,300
0
07 Jun 2017
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNNBDLSSLCML
151
3,586
0
21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
644
29,076
0
09 Sep 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
191
10,876
0
03 Jul 2016
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